analisis-numerico-computo-cientifico VS DeepLearning

Compare analisis-numerico-computo-cientifico vs DeepLearning and see what are their differences.

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analisis-numerico-computo-cientifico DeepLearning
1 1
44 3
- -
0.0 0.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

analisis-numerico-computo-cientifico

Posts with mentions or reviews of analisis-numerico-computo-cientifico. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning analisis-numerico-computo-cientifico yet.
Tracking mentions began in Dec 2020.

DeepLearning

Posts with mentions or reviews of DeepLearning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-06.

What are some alternatives?

When comparing analisis-numerico-computo-cientifico and DeepLearning you can also consider the following projects:

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

docker-curriculum - :dolphin: A comprehensive tutorial on getting started with Docker!

osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.

weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights

laser - The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

Deep-Learning-Experiments - Videos, notes and experiments to understand deep learning

chainerrl - ChainerRL is a deep reinforcement learning library built on top of Chainer.

monodepth2 - [ICCV 2019] Monocular depth estimation from a single image